The UK national registry of ENT surgeons with coronavirus disease 2019
Bibliographic record
Abstract
BACKGROUND: ENT surgeons are likely to be at high risk of coronavirus disease 2019 exposure. METHODS: A national registry of UK ENT surgeons with suspected or confirmed coronavirus disease 2019 was created with the support of ENT UK. Voluntary entry was made by either the affected individual or a colleague, using a web-based platform. RESULTS: A four-month data collection period is reported, comprising 73 individuals. Coronavirus disease 2019 was test-confirmed in 35 respondents (47.9 per cent). There was a need for hospitalisation in two cases (2.7 per cent) and tragically one individual died. Symptom onset peaked in March. The majority suspected their exposure to have been in the workplace, with a significant proportion attributing their disease to a lack of personal protective equipment at a time before formal guidance had been introduced. CONCLUSION: The registry suggests that a significant number of ENT clinicians in the UK have contracted coronavirus disease 2019, and supports the need for tailored personal protective equipment guidance and service planning.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".